#deep-learning 每日趋势报告

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

🐙 提示工程指南、论文、讲座、笔记本及资源

12周24课，全民人工智能！

🐍 Geometric Computer Vision Library for Spatial AI

面向所有人的开源机器学习框架

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

学习如何开发、部署并迭代生产级机器学习应用。

具备容错能力、高度可扩展的GPU编排系统，以及专为训练数十亿至数万亿参数模型设计的机器学习框架

Hugging Face transformers 课程

ONNX Runtime：跨平台高性能机器学习推理与训练加速引擎